Share

Tools

Note: This topic alert will contain papers related to any sub-topic within this category. To create more granular alerts, you will need to delete the parent alert first.Note: This topic alert is already active because you previously created an alert on a parent topic. To create more granular alerts, you will need to delete the parent alert first.

An artificial neural network method is applied to the development of an ionospheric forecasting technique for one hour ahead. Comparisons between the observed and predicted values of the critical frequency of the F2 layer, foF2, and the total electron content (TEC) are presented to show the appropriateness of the proposed technique.